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The work shall be typed or word-processed in your own words. The deadline for submission is 11:59 p.m. (HKT) on 08 Mar 2024 (Friday).
Learning Outcomes
This piece of assessment will test your ability to meet learning outcomes as described hereunder:
Use and apply Scilab to plot graphs of functions given both analytically and by the data from text files. Incorporate those graphs into reports electronically (Learning Outcome 1)
Apply standard numerical methods of computational engineering, e.g. curve fitting and interpolation, solution of simultaneous linear equations, and statistical processing of experimental data (Learning Outcome 2)
Write Scilab scripts and function to carry out engineering computations and plot complex graphs (Learning Outcome 3)
Demonstrate the use of problem solution tools and evaluative skills in the selection of appropriate methods of analysis (Learning Outcome 4)
Assignment Details
This assignment contains 4 questions. Answer all questions with words not exceeding 2,500. All the assumptions, comments in the scripts and explanation in your answers should be clearly stated due to be awarded. The assignment will carry 50% weighting of the total mark of this module.
Submission Details
(1) The deadline for submission is 11:59 p.m. (HKT) on 08 Mar 2024 (Friday). Late submission will be dealt with strictly in accordance with UCLan Regulations.
(2) The script files for both Scilab (*.sce) and CFAST (*.IN) and captured screenshots to demonstrate the output results shall be included in the submission.
(3) No hard copy is required to be submitted to the SCOPE counter. This assignment should be submitted through Turnitinto CityU SCOPE CANVAS assignment submission folder.
(4) In-text citations and referenced publications shall be added to the answer to each question.
(5) Using AI-generated text to complete your assignment is prohibited. Citation of Harvard style shall be used for all quoted references. UCLan regards any use of unfair means in an attempt to enhance performance or to influence the standard of award obtained as a serious academic and/or disciplinary offence.